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Google Data Science Jobs in Silver Spring, MD (NOW HIRING)

Steampunk

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

Stay current with modern data science methodologies, ML techniques, data processing tools, and ... Databricks Data Scientist Associate, AWS ML Specialty, Azure Data Scientist Associate, Google ...

Steampunk

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

Stay current with modern data science methodologies, ML techniques, data processing tools, and ... Databricks Data Scientist Associate, AWS ML Specialty, Azure Data Scientist Associate, Google ...

SteerBridge

Senior Data Scientist

Vienna, VA

Provide guidance on best practices and industry standards across data science and analytics, data ... Cloud project work using Google, AWS and/or Azure. * Demonstrated high proficiency in statistical ...

SteerBridge

Senior Data Scientist

Vienna, VA · On-site

Provide guidance on best practices and industry standards across data science and analytics, data ... Cloud project work using Google, AWS and/or Azure. * Demonstrated high proficiency in statistical ...

SteerBridge

Senior Data Scientist

Vienna, VA

Provide guidance on best practices and industry standards across data science and analytics, data ... Cloud project work using Google, AWS and/or Azure. * Demonstrated high proficiency in statistical ...

AMERICAN SYSTEMS

Data Scientist III

College Park, MD · On-site

$140K - $170K/yr

Bachelor's degree or higher in Computer Science, Data Science, or related STEM field * Active TS ... Amazon Web Services (AWS), Azure, Google Platform (GCP) and Microsoft 365. AMERICAN SYSTEMS is ...

AMERICAN SYSTEMS

Data Scientist III

College Park, MD · On-site

$140K - $170K/yr

Bachelor's degree or higher in Computer Science, Data Science, or related STEM field * Active TS ... Amazon Web Services (AWS), Azure, Google Platform (GCP) and Microsoft 365. Pay Transparency ...

ActioNet

Data Scientist

Rosslyn, VA · On-site

Leverage 3+ years (Level II) or 5+ years (Level III) of relevant data science experience * Hold or pursue certifications such as CAP, AWS Machine Learning Specialty, or Google Professional Data ...

US AI

Sr. Data Scientist

Rockville, MD

$150K - $200K/yr

... science. * Fundamental knowledge of cloud platforms like AWS, Google Cloud, or Azure, with an emphasis on their use for scalable data analysis. * Minimum 7 years of experience. Required Skills ...

Steampunk

Senior Data Scientist

Mclean, VA · On-site

$120K - $180K/yr

D. in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field ... AWS ML Specialty, Azure Data Scientist Associate, Google Professional Data Engineer, Databricks ...

Steampunk

Senior Data Scientist

Mclean, VA

$120K - $180K/yr

D. in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field ... AWS ML Specialty, Azure Data Scientist Associate, Google Professional Data Engineer, Databricks ...

Steampunk

Senior Data Scientist

Mclean, VA · On-site

$120K - $180K/yr

D. in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field ... AWS ML Specialty, Azure Data Scientist Associate, Google Professional Data Engineer, Databricks ...

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All JobsGoogle Data Science JobsGoogle Data Science Jobs in Silver Spring, MD

Google Data Science information

Can data scientists make $300k?

Data scientists, including those working at Google, can earn $300,000 or more annually, especially with senior roles, extensive experience, advanced skills in machine learning and big data tools, and in high-cost-of-living areas. Compensation often includes base salary, bonuses, and stock options, which contribute to total earnings at this level.

What are the key skills and qualifications needed to thrive in the Google Data Science position, and why are they important?

To thrive as a Google Data Science professional, you need a strong foundation in statistical analysis, machine learning, and data manipulation, often supported by a degree in a quantitative field such as computer science, statistics, or mathematics. Proficiency in programming languages like Python or R, experience with large-scale data processing tools (such as SQL, TensorFlow, or BigQuery), and familiarity with cloud-based platforms are commonly required. Excellent problem-solving, communication, and collaboration skills help set candidates apart in effectively translating complex data insights to varied stakeholders. These capabilities are crucial for driving impactful, data-driven decisions within cross-functional teams at Google.

How much does Google pay a Data Scientist?

Google Data Scientists typically earn a base salary ranging from $120,000 to $180,000 annually, with total compensation often including bonuses and stock options that can increase overall earnings. Compensation varies based on experience, location, and skill level, with advanced skills in machine learning and data analysis tools being highly valued.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist, including at age 40. Success in data science depends on skills, experience, and continuous learning of tools like Python, R, and SQL, rather than age. Many professionals transition into data science later in their careers and find opportunities with relevant certifications and a strong portfolio.

What is a Google Data Science job?

A Google Data Science job involves analyzing large datasets to provide insights and drive data-informed decisions. Data scientists at Google apply statistical modeling, machine learning, and analytical techniques to solve complex problems in products like Search, Ads, YouTube, and Cloud. They work closely with engineers, product managers, and business teams to develop data-driven solutions. Strong coding skills in Python or SQL, experience with big data tools, and a solid foundation in statistics are essential for this role.

What types of projects do Google Data Science professionals typically work on?

Google Data Science professionals engage in a wide variety of impactful projects, such as optimizing algorithms for product recommendations, improving user experiences through data-driven insights, and developing predictive models to inform business strategies. They often work closely with product managers, engineers, and designers to translate complex data findings into actionable solutions. The work environment is highly collaborative and fast-paced, with opportunities to contribute to innovative initiatives across different Google products and services. This dynamic setting allows data scientists to continuously expand their skill sets and take on new challenges, fostering both personal and professional growth.

What is the average salary for a Data Scientist at Google?

The average salary for a Data Scientist at Google is approximately $120,000 to $150,000 per year, depending on experience, location, and level. Senior roles or those with specialized skills in machine learning and data analysis can earn higher compensation, often including bonuses and stock options.
What are popular job titles related to Google Data Science jobs in Silver Spring, MD? For Google Data Science jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Google Data Science jobs in Silver Spring, MD look for? The top searched job categories for Google Data Science jobs in Silver Spring, MD are:
Google Data Science jobs near you
Infographic showing various Google Data Science job openings in Silver Spring, MD as of June 2026, with employment types broken down into 1% As Needed, 91% Full Time, 6% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Scientist

Steampunk

Mclean, VA • On-site

$125K - $160K/yr

Other

Posted 13 days ago

Job description

Overview
We are seeking aData Scientist to design, build, and deliver predictive analytics, machine learning models, and data-driven insights that support mission and business outcomes. This role requires strong analytical and modeling skills, hands-on experience with ML frameworks, and the ability to collaborate across engineering, data, and product teams. The Data Scientist will contribute to the full lifecycle of model development, from data exploration and feature engineering to model training, evaluation, and deployment, while supporting the articulation of insights and recommendations to technical and non-technical stakeholders.
Contributions
  • Conduct exploratory data analysis (EDA) to uncover trends, identify data quality issues, and determine modeling opportunities.
  • Develop machine learning models using frameworks such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar libraries.
  • Perform feature engineering, dataset preparation, and model optimization to improve predictive accuracy and operational performance.
  • Evaluate models using appropriate statistical methods and performance metrics, documenting findings and informing iterative improvements.
  • Work with Data Engineers to understand and enhance data pipelines, ensuring model-ready datasets are accurate, complete, and consistent.
  • Collaborate with AI Developers and LLMOps/MLOps Engineers to integrate ML models into production environments or decision-support applications.
  • Build visualizations, dashboards, data stories, and executive-friendly summaries to communicate insights clearly to stakeholders.
  • Support human-centered design processes by translating user needs into modeling requirements and refining model outputs based on feedback.
  • Contribute to reproducibility and auditability by maintaining well-organized code, notebooks, documentation, and experiment histories.
  • Stay current with modern data science methodologies, ML techniques, data processing tools, and cloud-enabled analytics workflows.
  • You will contribute to the growth of our AI & Data Exploitation Practice!

Qualifications
  • Ability to hold a position of public trust with the U.S. government.
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Analytics, Engineering, Economics, or a related field.
  • 4+ years of experience building and evaluating machine learning models or performing advanced analytics.
  • Proficiency in Python and core data science libraries (Pandas, NumPy, scikit-learn, Matplotlib/Seaborn).
  • Hands-on experience with at least one modern ML framework (e.g., PyTorch, TensorFlow, XGBoost).
  • Experience writing efficient SQL queries and working with structured or semi-structured data in cloud or database environments.
  • Familiarity with cloud data and ML platforms such as AWS, Azure, GCP, or Databricks.
  • Strong understanding of statistics, probability, experimental design, and model validation techniques.
  • Ability to communicate technical concepts clearly to stakeholders and collaborate across multidisciplinary teams.
  • Experience with dashboarding tools (Tableau, Power BI) or Python visualization libraries is a plus.
  • Curiosity and adaptability, with a drive to stay current in rapidly evolving data and ML practices.
  • Relevant certifications (helpful but not required): Databricks Data Scientist Associate, AWS ML Specialty, Azure Data Scientist Associate, Google Professional Data Engineer.

About steampunk
Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $125,000 to $160,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn more about additional Steampunk benefits here.
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an employee owned company, we focus on investing in our employees to enable them to do the greatest work of their careers - and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit http://www.steampunk.com.

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